A Secure and Robust Image Encryption Scheme Based on Mixture of Multiple Generalized Bernoulli Shift Maps and Arnold Maps

Ye, Ruisong; Ma, Yuanlin

doi:10.5815/ijcnis.2013.07.03

Cited by 11 publications

(8 citation statements)

References 24 publications

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“…Algorithms 1 and 2 are used in the encryption and decryption process. The four algorithms adopted from (Pareek et al, 2006;Ye & Ma, 2013) with modification can be seen in Table 1. If the researchers use the process in (Muktyas et al, 2021), one of the disadvantages is the existence of a keyspace for a small password 1, which is based only on the size of the image.…”

Section: Third To Be a Complete Matrix Use Elementary Row Operations (Ero) "Add A Row With Multiply Of Another Row"mentioning

confidence: 99%

Unimodular matrix and bernoulli map on text encryption algorithm using python

Arifin

Muktyas

Prasetyo

et al. 2021

ajpm

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One of the encryption algorithms is the Hill Cipher. The square key matrix in the Hill Cipher method must have an inverse modulo. The unimodular matrix is one of the few matrices that must have an inverse. A unimodular matrix can be utilized as a key in the encryption process. This research aims to demonstrate that there is another approach to protect text message data. Symmetric cryptography is the sort of encryption utilized. A Bernoulli Map is used to create a unimodular matrix. To begin, the researchers use an identity matrix to generate a unimodular matrix. The Bernoulli Map series of real values in (0,1) is translated to integers between 0 and 255. The numbers are then inserted into the unimodular matrix's top triangular entries. To acquire the full matrix as the key, the researchers utilize Elementary Row Operations. The data is then encrypted using modulo matrix multiplication.

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Section: Third To Be a Complete Matrix Use Elementary Row Operations (Ero) "Add A Row With Multiply Of Another Row"mentioning

confidence: 99%

Unimodular matrix and bernoulli map on text encryption algorithm using python

Arifin

Muktyas

Prasetyo

et al. 2021

ajpm

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“…The control parameter of Bernoulli map (i.e., b) should be taken in the range of 1 to 5 to keep chaotic behavior [24,25]. For = 2, Equation (4) can be written as follows…”

Section: Bernoulli Mapmentioning

confidence: 99%

A new partial image encryption method for document images using variance based quad tree decomposition

Revanna

Keshavamurthy²

2020

IJECE

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The proposed method partially and completely encrypts the gray scale Document images. The complete image encryption is also performed to compare the performance with the existing encryption methods. The partial encryption is carried out by segmenting the image using the Quad-tree decomposition method based on the variance of the image block. The image blocks with uniform pixel levels are considered insignificant blocks and others the significant blocks. The pixels in the significant blocks are permuted by using 1D Skew tent chaotic map. The partially encrypted image blocks are further permuted using 2D Henon map to increase the security level and fed as input to complete encryption. The complete encryption is carried out by diffusing the partially encrypted image. Two levels of diffusion are performed. The first level simply modifies the pixels in the partially encrypted image with the Bernoulli's chaotic map. The second level establishes the interdependency between rows and columns of the first level diffused image. The experiment is conducted for both partial and complete image encryption on the Document images. The proposed scheme yields better results for both partial and complete encryption on Speed, statistical and dynamical attacks. The results ensure better security when compared to existing encryption schemes.A new partial image encryption method for document images using variance based quad ... (C R Revanna) 787In [2], the authors proposed a bit-level scrambling algorithms to scramble bit positions. It is also said that the proposed algorithm provides flexibility to select any image as the input source image, any decomposition technique for obtaining the bit plane, any decomposed bit plane as the security key bit plane and any scrambling technique for the bit-level permutation. In [3], a chaotic system based partial image encryption is proposed. The proposed scheme includes bit plane decomposition of source image. After decomposing, the significant bit plane are selected for encryption. Encryption is achieved by generating the pseudorandom number sequence using chaotic system.In [4], a chaotic based partial grey sale image encryption is proposed. It is observed that the authors proposed a bit plane decomposing method for encryption. The various bit planes (significant and insignificant) are identified based on autocorrelation threshold of different binary planes. The key sequence obtained by chaotic map is used to encrypt the correlated bit planes. In [5], both selective and complete image encryption using the sequence of chaotic map. At first the chaotic map is used to generate a key to completely encrypt the plain image. Second, for the same input image selective portion is encrypted. Finally the complete and selective encrypted results are combined by XOR operation to achieve better security. A new technique called graph coloring problem (GCP) for partial encryption of medical image is proposed in [6]. The GCP technique is used to select the optimal positions of the pixels from the input medical imag...

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“…In the year 2013, an efficient image encryption scheme based on multiple generalized Bernoulli shift maps and Arnold maps is proposed by Ruisong Ye and Yuanlin Ma [25]. Six generalized Bernoulli shift maps and one six-dimensional Arnold map are utilized to distort the pixel positions in the permutation process.…”

Section: Literature Reviewmentioning

confidence: 99%

A Distinctive Afo Algorithm for Secured Medical Image Transmission Using Chaotic Crypto Technique

Tamilkodi¹,

Rama²

2019

IJARET

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The proposed system aims to develop a secure medical image encryption algorithm by combining chaotic map and cryptographic technique. In this paper, an innovative AFO (Arnold Cat Map, Fibonacci sequence and One Time Pad) algorithm for medical image encryption has been proposed. This AFO algorithm consists of four phases, in which diffusion, and confusion takes place two times. The pixels of the original (OI) and the key (KI) image are diffused by Arnold Cat Map first. Then the pixels of diffused images are confused with the help of Fibonacci sequence. Next, N unique random numbers are generated. Using these random numbers, the confused OI and KI image pixels are again permuted. The values of the resultant OI and KI pixels are pooled by utilizing the Vernam Cipher (also known as One Time Pad) in the final confusion phase. The quality of the reconstructed and an encrypted images are evaluated by some of the most widely used objective measures like MSE (Mean Square Error), PSNR (Peak Signal to Noise Ratio), AD (Average Difference), MD (Maximum Difference), MAE (Mean Absolute Error), (CC) Correlation Coefficient, IF (Image Fidelity), SSIM (Structural Similarity Index Metrics). Results of these measures commends that the proposed AFO encryption algorithm is suitable for secure medical image transmission.

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A Secure and Robust Image Encryption Scheme Based on Mixture of Multiple Generalized Bernoulli Shift Maps and Arnold Maps

Cited by 11 publications

References 24 publications

Unimodular matrix and bernoulli map on text encryption algorithm using python

Unimodular matrix and bernoulli map on text encryption algorithm using python

A new partial image encryption method for document images using variance based quad tree decomposition

A Distinctive Afo Algorithm for Secured Medical Image Transmission Using Chaotic Crypto Technique

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